[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-33304":3,"doc-seo-33304":27},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"file_id":15,"file_url":16,"file_type":17,"file_size":18,"view_count":19,"is_deleted":4,"is_public":19,"is_downloadable":19,"audit_status":19,"page_count":20,"language":21,"language_code":22,"table_of_contents":23,"faqs":24,"seo_title":13,"seo_description":14,"update_tm":25,"read_time":26},33304,4398048950312,"Violet","https://ap-avatar.wpscdn.com/avatar/400002538284de19e3c?_k=1778320343897328908",8,"Research & Report","Generative Entrenchment, Modularity and Evolvability","The paper develops an evolutionary explanation linking generative entrenchment (GE) to the feasibility of modular architectures and evolvability. It frames phenotype as a generative structure whose causal downstream dependencies can be represented with directed graphs, defining GE as the magnitude of such dependency. The authors argue that previously identified multilocus selection interactions indicate robustness and broad applicability, and that addressing GE is key to understanding how evolution can produce and maintain modularity.","cbCaivNGIRRZCc40","https://ap.wps.com/l/cbCaivNGIRRZCc40","pdf",337025,1,32,"English","en","# Modularity and the Problem of Generative Entrenchment\n## Generative Entrenchment","[{\"question\":\"What is generative entrenchment (GE) in the paper?\",\"answer\":\"GE is defined as the magnitude of a node’s downstream dependency within a generative causal network representing phenotype and relevant environmental aspects.\"},{\"question\":\"How does the paper connect GE to modularity and evolvability?\",\"answer\":\"The authors argue that generative entrenchment makes significant evolutionary (including modular) changes more difficult, so understanding the processes behind GE is necessary for explaining how modularity can nevertheless evolve.\"},{\"question\":\"Why do the authors claim their selection phenomenon is robust and broadly applicable?\",\"answer\":\"They present more striking demonstrations whose analysis indicates the phenomenon is robust, originating from multilocus selection systems that generate unexpected allele interactions.\"}]",1782207098,81,{"code":4,"msg":28,"data":29},"ok",{"site_id":30,"language":22,"slug":31,"title":13,"keywords":32,"description":14,"schema_data":33,"social_meta":84,"head_meta":86,"extra_data":88,"updated_unix":25},105,"generative-entrenchment-modularity-and-evolvability","",{"@graph":34,"@context":83},[35,52,66],{"@type":36,"itemListElement":37},"BreadcrumbList",[38,42,46,49],{"item":39,"name":40,"@type":41,"position":19},"https://docshare.wps.com","Home","ListItem",{"item":43,"name":44,"@type":41,"position":45},"https://docshare.wps.com/document/","Document",2,{"item":47,"name":12,"@type":41,"position":48},"https://docshare.wps.com/document/research-report/",3,{"item":50,"name":13,"@type":41,"position":51},"https://docshare.wps.com/document/generative-entrenchment-modularity-and-evolvability/33304/",4,{"url":50,"name":13,"@type":53,"author":54,"headline":13,"publisher":56,"fileFormat":59,"description":14,"dateModified":60,"datePublished":60,"encodingFormat":59,"isAccessibleForFree":61,"interactionStatistic":62},"DigitalDocument",{"name":9,"@type":55},"Person",{"url":39,"name":57,"@type":58},"DocShare","Organization","application/pdf","2026-06-23",true,{"@type":63,"interactionType":64,"userInteractionCount":19},"InteractionCounter",{"@type":65},"ViewAction",{"@type":67,"mainEntity":68},"FAQPage",[69,75,79],{"name":70,"@type":71,"acceptedAnswer":72},"What is generative entrenchment (GE) in the paper?","Question",{"text":73,"@type":74},"GE is defined as the magnitude of a node’s downstream dependency within a generative causal network representing phenotype and relevant environmental aspects.","Answer",{"name":76,"@type":71,"acceptedAnswer":77},"How does the paper connect GE to modularity and evolvability?",{"text":78,"@type":74},"The authors argue that generative entrenchment makes significant evolutionary (including modular) changes more difficult, so understanding the processes behind GE is necessary for explaining how modularity can nevertheless evolve.",{"name":80,"@type":71,"acceptedAnswer":81},"Why do the authors claim their selection phenomenon is robust and broadly applicable?",{"text":82,"@type":74},"They present more striking demonstrations whose analysis indicates the phenomenon is robust, originating from multilocus selection systems that generate unexpected allele interactions.","https://schema.org",{"og:url":50,"og:type":85,"og:title":13,"og:site_name":57,"og:description":14},"article",{"robots":87,"canonical":50},"index,follow",{"doc_id":7,"site_id":30}]